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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 8835
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    Explanations

    mentions of activities and locations related to sports and events

    oai_token-act-pair · gpt-3.5-turbo

    expressions of excitement or anticipation about events or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anamo
    -0.68
     Lauder
    -0.66
    ividually
    -0.66
    Mobil
    -0.65
    enance
    -0.62
     Alv
    -0.62
     helicop
    -0.60
     Nielsen
    -0.59
    èĢħ
    -0.58
    lie
    -0.58
    POSITIVE LOGITS
     alot
    0.93
     english
    0.91
     pics
    0.87
     dont
    0.83
    !!!!
    0.78
     didnt
    0.77
     :)
    0.75
     :(
    0.74
     UPDATE
    0.73
     lol
    0.73
    Activations Density 0.800%

    No Known Activations